Knowledge benchmark # SimpleQA Verified leaderboard > SimpleQA Verified results for 77 AI models, led by GPT-6 Astra at 75.6%. What the benchmark measures, who runs it, and a source for every score. - Canonical page: https://noometry.com/benchmarks/simpleqa-verified - Last updated: 2026-10-10 - Title: SimpleQA Verified Leaderboard (October 2026): Scores by Model As of October 2026, GPT-6 Astra has the highest published SimpleQA Verified score on Noometry at 75.6%, out of 77 models with results. Last verified October 10, 2026 ## About SimpleQA Verified Short fact-seeking questions with a single verifiable answer. It measures factual accuracy without web access. - **Category:** [Knowledge](https://noometry.com/best/knowledge) - **Introduced:** 2025 - **Size:** 1,000 questions - **Format:** Short answer - **Unit:** Percent (random guessing ≈ 0%) - **Official site:** [epoch.ai](https://epoch.ai/benchmarks) ## Top 15 models Top models on SimpleQA Verified 1. GPT-6 Astra 75.6% 2. GPT-6.1 Sol 73.9% 3. Gemini 3.1 Pro Preview 73.5% 4. Claude Opus 5.5 72.2% 5. Claude Fable 5.1 70.8% 6. Claude Fable 5 70.7% 7. Gemini 3.8 Flash 69.7% 8. GPT-5.6 Sol 69.7% 9. Gemini 3.7 Flash 69.2% 10. Gemini 3 Flash Preview 66.8% 11. Gemini 3.5 Flash 66.2% 12. Gemini 3.6 Flash 66.2% 13. GPT-5.5 63% 14. GPT-6 Sol 60.7% 15. Muse Spark 1.2 60.3% 16. 556065707580 Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise) ## All results SimpleQA Verified results by model | # | Model | Provider | Score | Setting | Source | Date | | --- | --- | --- | --- | --- | --- | --- | | 1 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 75.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 | | 2 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | [OpenAI](https://noometry.com/providers/openai) | 73.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-29 | | 3 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 73.5% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 4 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 72.2% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 | | 5 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 70.8% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-01 | | 6 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 70.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 7 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 69.7% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-02 | | 8 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 69.7% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 9 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 69.2% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 10 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 66.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 11 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 66.2% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 12 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 66.2% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 13 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 63% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 14 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 60.7% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 | | 15 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 60.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 16 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 59.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 17 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 57.8% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-31 | | 18 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 56% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 | | 19 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 55.8% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 20 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 53% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 21 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 52.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 22 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 52% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 23 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 51.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 24 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 50.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 25 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 50.1% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 26 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 49.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 27 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 49.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 28 | [Qwen3 Max](https://noometry.com/models/qwen3-max) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 48.7% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 29 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 48.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 30 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 48% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 31 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 47.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-02 | | 32 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 47% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 33 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 46.5% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-29 | | 34 | [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | [OpenAI](https://noometry.com/providers/openai) | 46.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 35 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 45.7% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 36 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 45.1% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 37 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 44.1% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 38 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 43.2% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 39 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 41.4% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 | | 40 | [o1](https://noometry.com/models/o1) | [OpenAI](https://noometry.com/providers/openai) | 41.1% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-31 | | 41 | [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 41% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 | | 42 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 41% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 43 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 40.4% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 44 | [Inkling](https://noometry.com/models/inkling) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 40.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 45 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 37.1% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 46 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | [Moonshot AI](https://noometry.com/providers/moonshot) | 36.5% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 47 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 35.5% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 48 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 34.9% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 49 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | 34.3% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 50 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 34.2% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 51 | [GLM-5.1](https://noometry.com/models/glm-5-1) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 34% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 52 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 33.7% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 53 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 33.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 54 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 33.2% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 55 | [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 32.2% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 56 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | 31.1% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-31 | | 57 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 30.7% | 59K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 58 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | 30.2% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 59 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 29.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 60 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 26% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-31 | | 61 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 25.4% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 62 | [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 23.8% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-09 | | 63 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 21.6% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 64 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 20.3% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 65 | [Mistral Large 4](https://noometry.com/models/mistral-large-4) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 20% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-09 | | 66 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 19.6% | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 67 | [Inkling-Small](https://noometry.com/models/inkling-small) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 19.1% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 68 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 15.9% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 69 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 15.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-31 | | 70 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 13.2% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 71 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 12.7% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-31 | | 72 | [Claude 3 Opus](https://noometry.com/models/claude-3-opus) | [Anthropic](https://noometry.com/providers/anthropic) | 12.6% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-31 | | 73 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 11.7% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 74 | [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | 11.7% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 | | 75 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 10.4% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 | | 76 | [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | 8.3% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-31 | | 77 | [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | 6% | | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-31 | ## Compare the leaders - [GPT-6 Astra vs GPT-6.1 Sol](https://noometry.com/compare/gpt-6-1-sol-vs-gpt-6-astra) - [GPT-6 Astra vs Gemini 3.1 Pro Preview](https://noometry.com/compare/gemini-3-1-pro-preview-vs-gpt-6-astra) - [GPT-6 Astra vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-astra) - [GPT-6 Astra vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-gpt-6-astra) - [GPT-6.1 Sol vs Gemini 3.1 Pro Preview](https://noometry.com/compare/gemini-3-1-pro-preview-vs-gpt-6-1-sol) - [GPT-6.1 Sol vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-1-sol) ## Other knowledge benchmarks - [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) - [Humanity's Last Exam](https://noometry.com/benchmarks/hle) - [MMLU-Pro](https://noometry.com/benchmarks/mmlu-pro) - [Confabulations](https://noometry.com/benchmarks/confabulations) - [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) - [LMArena Expert](https://noometry.com/benchmarks/arena-expert) - [GPQA (HELM)](https://noometry.com/benchmarks/helm-gpqa) - [ARC (AI2) Challenge](https://noometry.com/benchmarks/arc-challenge) (reference) - [BoolQ](https://noometry.com/benchmarks/boolq) (reference) - [MMLU](https://noometry.com/benchmarks/mmlu) (reference) - [OpenBookQA](https://noometry.com/benchmarks/openbookqa) (reference) - [TriviaQA](https://noometry.com/benchmarks/triviaqa) (reference) ## Frequently asked questions ### What does SimpleQA Verified measure? Short fact-seeking questions with a single verifiable answer. It measures factual accuracy without web access. ### Which model has the highest SimpleQA Verified score? As of October 2026, GPT-6 Astra has the highest published SimpleQA Verified score on Noometry at 75.6%, out of 77 models with results. ### What is the best open-weight model on SimpleQA Verified? DeepSeek V4 Pro has the highest SimpleQA Verified accuracy among open-weight models at 52.9%, ranking 21 of 77 overall. ### Cite this page Noometry. (2026). SimpleQA Verified leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/simpleqa-verified Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/simpleqa-verified.md).